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Gcp Developer Operations Jobs in Seattle, WA (NOW HIRING)

Echodyne Corp

Principal DevOps Engineer

Kirkland, WA · On-site

$149K - $224K/yr

Echodyne is seeking a Principal DevOps Engineer to join our fast-growing team. ROLE OVERVIEW We are ... AWS, Azure, or GCP) and Kubernetes/Docker * Automation & Systems Thinking : Deep scripting ...

Jitsu, Inc.

Senior DevOps/Platform Engineer

Seattle, WA · On-site

$120 - $147/hr

Senior DevOps/Platform Engineer Jitsu, Inc. Seattle, Washington, United States About this position ... Cloud infrastructure (GCP preferred): Strong experience building and operating cloud infrastructure ...

Pear

Senior DevOps Engineer - Pay-i

Seattle, WA · On-site

$147K - $190K/yr

The Opportunity As a DevOps Engineer, you will be a key member of our growing DevOps team ... Creating and managing infrastructure deployments on AWS, Azure, GCP, and on-premises. * Supporting ...

InterSources Inc

Kubernetes Admin

Bellevue, WA · On-site

$59.25 - $81/hr

... DevOps toolstack (AWS, Azure, GCP, opensource). • Deliver components that automate parts to install components/configure of software/tools in on premises and on cloud. • Deliver components that ...

Feuji Inc

Golang Developer - Backend

Seattle, WA · On-site

Collaborate with cross-functional teams (frontend, product, DevOps) to define, design, and ship new ... Work with cloud platforms (AWS, GCP, Azure) and deploy applications in containerized environments ...

YO AI Labs

Infrastructure Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . * Assess AI agents and workplace connectors ...

YO AI Labs

Infrastructure Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . * Assess AI agents and workplace connectors ...

talentmovers inc

GCP System Engineer

Issaquah, WA · On-site

We are seeking a highly skilled GCP System Engineer to manage the operational stability, configuration, and deep-level integration of the Google Contact Center AI (CCAI) platform and its related ...

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How much do gcp developer operations jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for gcp developer operations in Seattle, WA is $60.74, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $72.50 per hour, depending on experience, location, and employer.

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Gcp Developer Operations jobs near you
Infographic showing various Gcp Developer Operations job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $126,332 per year, or $60.7 per hour.

Data Engineer (GCP, BigQuery, Snowflake, Azure, Delta)

3B Staffing LLC

Seattle, WA • On-site

$130K - $156K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer (GCP, BigQuery, Snowflake, Azure, Delta)

Location: Seattle, WA - hybrid (local only)

***MUST HAVE INDUSTRY EXPERIENCE in ECOMMERCE/RETAIL***

(GCP, BigQuery, Snowflake, Azure, Delta)

As an Engineer II, you will bring a high level of technical knowledge, but also an ability to spread knowledge to your co-workers. You will help form the core of our engineering practice at the company by contributing to all areas of development and operations (pre-production to production). You will be an example of what good engineering looks like and help others around you refine their skills. You will be part of a day-to-day production release team and may perform on-call support functions as needed. Having a DevOps mindset is the key to success in this role, as Engineers are commonly part of full DevOps teams that "own" all parts of software development, release pipelines, production monitoring, security and support.

  • Data Engineering Projects
  • Data pipeline creation and maintenance. Stack: Google Cloud Platform (GCP), Azure Cloud, Azure Databricks, Snowflake
    • Includes engineering documentation, knowledge transfer to other engineers, future enhancements and maintenance
  • Create secure data views and publish them to the Enterprise Data Exchange via Snowflake for other teams to consume
  • Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog
  • Leverage existing CICD process for pipeline deployment
  • Adhere to PII encryption and masking standards
  • Data Engineering Tools/Techniques
  • Orchestration tools- ADF, AirFlow, FiveTran
  • Languages- SQL, Python
  • Data Modeling- Star and Snowflake Schema
  • Streaming- Kafka, EventHub, Spark, Snowflake Streaming
  • DevOps Support
  • Support improvements to current CICD process
  • Production monitoring and failure support
  • Provide an escalation point and participate in on-call support rotations
  • Participate in discussions on how to improve DevOps
  • Be aware of product release and how that impacts our business
  • Take part in Agile ceremonies
  • Perform engineering assignments using existing procedures and best practices
  • Conduct research to aid in product troubleshooting and optimization efforts
  • Participate in and contribute to our Engineering Community of Practice

Qualifications:

  • Completed Bachelor's degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible
  • 5+ years of relevant engineering experience
  • Google Professional Data Engineer Certification is preferred
  • Experience in Big Table, ClickStream data migration, Semi-Structured and Un-Structured data management
  • Experience with Google GCP and BigQuery
  • Experience with developing complex SQL queries
  • Experience with CI/CD principles and best practices
  • Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts.
  • Experience working with a Data Engineering team and understanding of Data Engineering practices.
  • Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space
  • Experience with bug tracking and task management software such as JIRA, etc.
  • Experienced in managing outages, customer escalations, crisis management, and other similar circumstances.

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